A quasi fractional order gradient descent method with adaptive stepsize and its application in system identification
Authors:
- Jianjun LiuJLJianjun Liu
- Rui ZhaiRZRui Zhai
- Yuhan LiuYLYuhan Liu
- Wenliang LiWLWenliang Li
- Bingzhe WangBWBingzhe Wang
- Liyuan HuangLHLiyuan Huang
- 1 March 2021
- journal article
- research article
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 393
Abstract
No abstract availableKeywords
Funding Information
- Science Foundation of China University of Petroleum Beijing (2462020XKJS02)
This publication has 32 references indexed in Scilit:
- Fractional Order Extremum Seeking Control: Performance and Stability AnalysisIEEE/ASME Transactions on Mechatronics, 2016
- Image denoising and enhancement based on adaptive fractional calculus of small probability strategyNeurocomputing, 2016
- A Novel Generalization of Modified LMS Algorithm to Fractional OrderIEEE Signal Processing Letters, 2015
- Design of modified fractional adaptive strategies for Hammerstein nonlinear control autoregressive systemsNonlinear Dynamics, 2015
- Adaptive fractional differential approach and its application to medical image enhancementComputers and Electrical Engineering, 2015
- Distributed formation control of fractional-order multi-agent systems with absolute damping and communication delayInternational Journal of Systems Science, 2015
- Identification of Hammerstein nonlinear ARMAX systems using nonlinear adaptive algorithmsNonlinear Dynamics, 2014
- A modified fractional least mean square algorithm for chaotic and nonstationary time series predictionChinese Physics B, 2014
- On Fractional Model Reference Adaptive ControlThe Scientific World Journal, 2014
- On the spectral radius and the spectral norm of Hadamard products of nonnegative matricesLinear Algebra and its Applications, 2011